Here are preliminary results of the bibliometric mapping of the 2022 Luxembourg research evaluation. Its purpose is:
The method for the research-field-mapping can be reiviewed here:
The seed articles deemed representative for the active areas of research in the institution, and include authors affiliated with the institution. They can be selected in three ways:
The present analysis is based on the following seed articles:
| AU | PY | TI | JI |
|---|---|---|---|
| ELWENSPOEK MMC;HENGESCH X;L… | 2020 | GLUCOCORTICOID RECEPTOR SIGNALING IN LEUKOCYTES AFTER EARLY LIFE ADVERSITY | DEV. PSYCHOPATHOL. |
| KURNIAWAN H;FRANCHINA DG;GU… | 2020 | GLUTATHIONE RESTRICTS SERINE METABOLISM TO PRESERVE REGULATORY T CELL FUNCTION | CELL METAB. |
| BÜRCKERT J-P;FAISON WJ;MUST… | 2018 | HIGH-THROUGHPUT SEQUENCING OF MURINE IMMUNOGLOBULIN HEAVY CHAIN REPERTOIRES USING SINGLE SIDE UNI… | ONCOTARGET |
| SZPAKOWSKA M;MEYRATH M;REYN… | 2018 | MUTATIONAL ANALYSIS OF THE EXTRACELLULAR DISULPHIDE BRIDGES OF THE ATYPICAL CHEMOKINE RECEPTOR AC… | BIOCHEM. PHARMACOL. |
| BLANK S;BILÒ MB;OLLERT M | 2018 | COMPONENT-RESOLVED DIAGNOSTICS TO DIRECT IN VENOM IMMUNOTHERAPY: IMPORTANT STEPS TOWARDS PRECISIO… | CLIN. EXP. ALLERGY |
| MUÑOZ-ALÍA MÁ;MULLER CP;RUS… | 2017 | ANTIGENIC DRIFT DEFINES A NEW D4 SUBGENOTYPE OF MEASLES VIRUS | J. VIROL. |
| KUEHN A;DICKEL H | 2016 | FISH AND SEAFOOD ALLERGY [ALLERGIEN AUF MEERESTIERE] | ALLERGOLOGIE |
| MORISSET M;ARUMUGAM K;OLLER… | 2016 | HORSE-MEAT ALLERGY MEDIATED BY DOG-ALLERGY: A CASE REPORT AND REVIEW OF THE LITERATURE | ALLERGO J. |
Here, we report the results of a LDA topic-modelling (basically, clustering on words) on all title+abstract texts.
Note: While this static vies is helpful, I recommend using the interactive LDAVis version to be found under https://daniel-hain.github.io/biblio_lux_2022/output/topic_modelling/LDAviz_lih_dii.rds/index.html#topic=1&lambda=0.60&term=. For functionality and usage, see technical description in the next tab.
Topic modeling is a type of statistical modeling for discovering the abstract “topics” that occur in a collection of documents. Latent Dirichlet Allocation (LDA) is an example of topic model and is used to classify text in a document to a particular topic.
LDA is a generative probabilistic model that assumes each topic is a mixture over an underlying set of words, and each document is a mixture of over a set of topic probabilities. It builds a topic per document model and words per topic model, modeled as Dirichlet distributions.
LDAvis is a web-based interactive visualisation of topics estimated using LDA. It provides a global view of the topics (and how they differ from each other), while at the same time allowing for a deep inspection of the terms most highly associated with each individual topic. The package extracts information from a fitted LDA topic model to inform an interactive web-based visualization. The visualisation has two basic pieces.
The left panel visualise the topics as circles in the two-dimensional plane whose centres are determined by computing the Jensen–Shannon divergence between topics, and then by using multidimensional scaling to project the inter-topic distances onto two dimensions. Each topic’s overall prevalence is encoded using the areas of the circles.
The right panel depicts a horizontal bar chart whose bars represent the individual terms that are the most useful for interpreting the currently selected topic on the left. A pair of overlaid bars represent both the corpus-wide frequency of a given term as well as the topic-specific frequency of the term.
The \(\lambda\) slider allows to rank the terms according to term relevance. By default, the terms of a topic are ranked in decreasing order according their topic-specific probability ( \(\lambda\) = 1 ). Moving the slider allows to adjust the rank of terms based on much discriminatory (or “relevant”) are for the specific topic. The suggested optimal value of \(\lambda\) is 0.6.
Note: This analysis refers the co-citation analysis,
where the cited references and not the original publications are the
unit of analysis. See tab Technical descriptionfor
additional explanations
In order to partition networks into components or clusters, we deploy a community detection technique based on the Lovain Algorithm (Blondel et al., 2008). The Lovain Algorithm is a heuristic method that attempts to optimize the modularity of communities within a network by maximizing within- and minimizing between-community connectivity. We identify the following communities = knowledge bases.
| com | name | dgr_int | dgr |
|---|---|---|---|
| Knowledge Base 1: KB 1 (n = 1882, density =2.07) | |||
| 1 | TYRKA A.R. PRICE L.H. MARSIT C. WALTERS O.C. CARPENTER L.L. CHILDHOOD ADVERSITY AND EPIGENETIC MODULATION OF THE LEUKOCYTE GLUCOCORTICOID RECEPTOR:… | 2082 | 2082 |
| 1 | OBERLANDER T.F. WEINBERG J. PAPSDORF M. GRUNAU R. MISRI S. DEVLIN A.M. PRENATAL EXPOSURE TO MATERNAL DEPRESSION NEONATAL METHYLATION OF HUMAN GLUCO… | 1980 | 1980 |
| 1 | TURECKI G. MEANEY M.J. EFFECTS OF THE SOCIAL ENVIRONMENT AND STRESS ON GLUCOCORTICOID RECEPTOR GENE METHYLATION: A SYSTEMATIC REVIEW (2016) | 1787 | 1791 |
| 1 | ROTH T.L. LUBIN F.D. FUNK A.J. SWEATT J.D. LASTING EPIGENETIC INFLUENCE OF EARLY-LIFE ADVERSITY ON THE BDNF GENE (2009) | 1396 | 1396 |
| 1 | ROMENS S.E. MCDONALD J. SVAREN J. POLLAK S.D. ASSOCIATIONS BETWEEN EARLY LIFE STRESS AND GENE METHYLATION IN CHILDREN (2015) | 867 | 867 |
| 1 | LUPIEN S.J. MCEWEN B.S. GUNNAR M.R. HEIM C. EFFECTS OF STRESS THROUGHOUT THE LIFESPAN ON THE BRAIN BEHAVIOUR AND COGNITION (2009) | 836 | 836 |
| 1 | BINDER E.B. THE ROLE OF FKBP5 A CO-CHAPERONE OF THE GLUCOCORTICOID RECEPTOR IN THE PATHOGENESIS AND THERAPY OF AFFECTIVE AND ANXIETY DISORDERS (2009) | 661 | 661 |
| 1 | WEAVER I.C. CERVONI N. CHAMPAGNE F.A. D’ALESSIO A.C. SHARMA S. SECKL J.R. DYMOV S. MEANEY M.J. EPIGENETIC PROGRAMMING BY MATERNAL BEHAVIOR (2004) | 637 | 637 |
| 1 | JONES P.A. FUNCTIONS OF DNA METHYLATION: ISLANDS START SITES GENE BODIES AND BEYOND (2012) | 628 | 628 |
| 1 | MCGOWAN P.O. SASAKI A. D’ALESSIO A.C. EPIGENETIC REGULATION OF THE GLUCOCORTICOID RECEPTOR IN HUMAN BRAIN ASSOCIATES WITH CHILDHOOD ABUSE (2009) | 594 | 594 |
| Knowledge Base 2: KB 2 (n = 762, density =4.27) | |||
| 2 | LEVOYE A. BALABANIAN K. BALEUX F. BACHELERIE F. LAGANE B. CXCR7 HETERODIMERIZES WITH CXCR4 AND REGULATES CXCL12-MEDIATED G PROTEIN SIGNALING (2009) | 2364 | 2364 |
| 2 | DISSOCIATION OF CXCR4 ACTIVATION FROM BINDING AND INHIBITION OF HIV-1 (1997) | 1799 | 1799 |
| 2 | LUKER K.E. STEELE J.M. MIHALKO L.A. RAY P. LUKER G.D. CONSTITUTIVE AND CHEMOKINE-DEPENDENT INTERNALIZATION AND RECYCLING OF CXCR7 IN BREAST CANCER … | 923 | 926 |
| 2 | BURNS J.M. SUMMERS B.C. WANG Y. MELIKIAN A. BERAHOVICH R. MIAO Z. A NOVEL CHEMOKINE RECEPTOR FOR SDF-1 AND I-TAC INVOLVED IN CELL SURVIVAL CELL ADH… | 918 | 918 |
| 2 | BUSILLO J.M. BENOVIC J.L. REGULATION OF CXCR4 SIGNALING (2007) | 817 | 817 |
| 2 | BALKWILL F. CANCER AND THE CHEMOKINE NETWORK (2004) | 794 | 804 |
| 2 | ZLOTNIK A. YOSHIE O. THE CHEMOKINE SUPERFAMILY REVISITED (2012) | 784 | 784 |
| 2 | TEICHER B.A. FRICKER S.P. CXCL12 (SDF-1) | 779 | 782 |
| 2 | KALATSKAYA I. BERCHICHE Y.A. GRAVEL S. LIMBERG B.J. ROSENBAUM J.S. HEVEKER N. AMD3100 IS A CXCR7 LIGAND WITH ALLOSTERIC AGONIST PROPERTIES (2009) | 749 | 749 |
| 2 | GRIFFITH J.W. SOKOL C.L. LUSTER A.D. CHEMOKINES AND CHEMOKINE RECEPTORS: POSITIONING CELLS FOR HOST DEFENSE AND IMMUNITY (2014) | 711 | 711 |
| Knowledge Base 3: KB 3 (n = 1714, density =2.53) | |||
| 3 | GUPTA R.S. SPRINGSTON E.E. WARRIER M.R. SMITH B. KUMAR R. PONGRACIC J. THE PREVALENCE SEVERITY AND DISTRIBUTION OF CHILDHOOD FOOD ALLERGY IN THE UN… | 1020 | 1047 |
| 3 | BOCK S.A. MUNOZ-FURLONG A. SAMPSON H.A. FATALITIES DUE TO ANAPHYLACTIC REACTIONS TO FOODS (2001) | 988 | 1001 |
| 3 | SAMPSON H.A. UTILITY OF FOOD-SPECIFIC IGE CONCENTRATIONS IN PREDICTING SYMPTOMATIC FOOD ALLERGY (2001) | 975 | 1050 |
| 3 | SICHERER S.H. SAMPSON H.A. FOOD ALLERGY: EPIDEMIOLOGY PATHOGENESIS DIAGNOSIS AND TREATMENT (2014) | 908 | 1095 |
| 3 | DU TOIT G. ROBERTS G. SAYRE P.H. BAHNSON H.T. RADULOVIC S. SANTOS A.F. RANDOMIZED TRIAL OF PEANUT CONSUMPTION IN INFANTS AT RISK FOR PEANUT ALLERGY… | 895 | 945 |
| 3 | MURARO A. WERFEL T. HOFFMANN-SOMMERGRUBER K. EAACI FOOD ALLERGY AND ANAPHYLAXIS GUIDELINES: DIAGNOSIS AND MANAGEMENT OF FOOD ALLERGY (2014) | 869 | 935 |
| 3 | SICHERER S.H. SAMPSON H.A. FOOD ALLERGY (2010) | 836 | 1275 |
| 3 | BOCK S.A. MUÑOZ-FURLONG A. SAMPSON H.A. FATALITIES DUE TO ANAPHYLACTIC REACTIONS TO FOODS (2001) | 794 | 811 |
| 3 | SAMPSON H.A. MENDELSON L. ROSEN J.P. FATAL AND NEAR-FATAL ANAPHYLACTIC REACTIONS TO FOOD IN CHILDREN AND ADOLESCENTS (1992) | 602 | 610 |
| 3 | MURARO A. WERFEL T. HOFFMANN-SOMMERGRUBER K. ROBERTS G. BEYER K. BINDSLEV-JENSEN C. EAACI FOOD ALLERGY AND ANAPHYLAXIS GUIDELINES: DIAGNOSIS AND MA… | 523 | 537 |
| Knowledge Base 4: KB 4 (n = 1591, density =2.74) | |||
| 4 | MACIVER N.J. MICHALEK R.D. RATHMELL J.C. METABOLIC REGULATION OF T LYMPHOCYTES (2013) | 2484 | 2704 |
| 4 | MICHALEK R.D. GERRIETS V.A. JACOBS S.R. MACINTYRE A.N. MACIVER N.J. MASON E.F. SULLIVAN S.A. RATHMELL J.C. CUTTING EDGE: DISTINCT GLYCOLYTIC AND LI… | 2158 | 2492 |
| 4 | ZENG H. YANG K. CLOER C. NEALE G. VOGEL P. CHI H. MTORC1 COUPLES IMMUNE SIGNALS AND METABOLIC PROGRAMMING TO ESTABLISH T(REG) | 2017 | 2976 |
| 4 | SHI L.Z. WANG R. HUANG G. VOGEL P. NEALE G. GREEN D.R. HIF1ALPHA-DEPENDENT GLYCOLYTIC PATHWAY ORCHESTRATES A METABOLIC CHECKPOINT FOR THE DIFFERENT… | 1568 | 2001 |
| 4 | PEARCE E.L. POFFENBERGER M.C. CHANG C.H. JONES R.G. FUELING IMMUNITY: INSIGHTS INTO METABOLISM AND LYMPHOCYTE FUNCTION (2013) | 1563 | 1811 |
| 4 | SHI L.Z. WANG R. HUANG G. VOGEL P. NEALE G. GREEN D.R. CHI H. HIF1ALPHA-DEPENDENT GLYCOLYTIC PATHWAY ORCHESTRATES A METABOLIC CHECKPOINT FOR THE DI… | 1522 | 1738 |
| 4 | SINCLAIR L.V. ROLF J. EMSLIE E. SHI Y.B. TAYLOR P.M. CANTRELL D.A. CONTROL OF AMINO-ACID TRANSPORT BY ANTIGEN RECEPTORS COORDINATES THE METABOLIC R… | 1519 | 1678 |
| 4 | PENG M. YIN N. CHHANGAWALA S. XU K. LESLIE C.S. LI M.O. AEROBIC GLYCOLYSIS PROMOTES T HELPER 1 CELL DIFFERENTIATION THROUGH AN EPIGENETIC MECHANISM… | 1503 | 1651 |
| 4 | MICHALEK R.D. GERRIETS V.A. JACOBS S.R. MACINTYRE A.N. MACIVER N.J. MASON E.F. CUTTING EDGE: DISTINCT GLYCOLYTIC AND LIPID OXIDATIVE METABOLIC PROG… | 1425 | 1729 |
| 4 | WANG R. DILLON C.P. SHI L.Z. MILASTA S. CARTER R. FINKELSTEIN D. THE TRANSCRIPTION FACTOR MYC CONTROLS METABOLIC REPROGRAMMING UPON T LYMPHOCYTE AC… | 1377 | 1500 |
| Knowledge Base 5: KB 5 (n = 1332, density =6.19) | |||
| 5 | HORI S. NOMURA T. SAKAGUCHI S. CONTROL OF REGULATORY T CELL DEVELOPMENT BY THE TRANSCRIPTION FACTOR FOXP3 (2003) | 6131 | 6639 |
| 5 | FONTENOT J.D. GAVIN M.A. RUDENSKY A.Y. FOXP3 PROGRAMS THE DEVELOPMENT AND FUNCTION OF CD4+CD25+ REGULATORY T CELLS (2003) | 4874 | 5289 |
| 5 | ZHENG Y. JOSEFOWICZ S. CHAUDHRY A. PENG X.P. FORBUSH K. RUDENSKY A.Y. ROLE OF CONSERVED NON-CODING DNA ELEMENTS IN THE FOXP3 GENE IN REGULATORY T-C… | 1820 | 2064 |
| 5 | SAKAGUCHI S. SAKAGUCHI N. ASANO M. ITOH M. TODA M. IMMUNOLOGIC SELF-TOLERANCE MAINTAINED BY ACTIVATED T CELLS EXPRESSING IL-2 RECEPTOR ALPHA-CHAINS… | 1629 | 1890 |
| 5 | KHATTRI R. COX T. YASAYKO S.A. RAMSDELL F. AN ESSENTIAL ROLE FOR SCURFIN IN CD4+CD25+ T REGULATORY CELLS (2003) | 1527 | 1577 |
| 5 | JOSEFOWICZ S.Z. LU L.F. RUDENSKY A.Y. REGULATORY T CELLS: MECHANISMS OF DIFFERENTIATION AND FUNCTION (2012) | 1485 | 1660 |
| 5 | SAKAGUCHI S. YAMAGUCHI T. NOMURA T. ONO M. REGULATORY T CELLS AND IMMUNE TOLERANCE (2008) | 1266 | 1345 |
| 5 | SHRESTHA S. YANG K. GUY C. VOGEL P. NEALE G. CHI H. TREG CELLS REQUIRE THE PHOSPHATASE PTEN TO RESTRAIN TH1 AND TFH CELL RESPONSES (2015) | 1226 | 2316 |
| 5 | LI X. LIANG Y. LEBLANC M. BENNER C. ZHENG Y. FUNCTION OF A FOXP3 CIS-ELEMENT IN PROTECTING REGULATORY T CELL IDENTITY (2014) | 1218 | 1322 |
| 5 | FENG Y. ARVEY A. CHINEN T. VAN DER VEEKEN J. GASTEIGER G. RUDENSKY A.Y. CONTROL OF THE INHERITANCE OF REGULATORY T CELL IDENTITY BY A CIS ELEMENT I… | 968 | 1079 |
| Knowledge Base 6: KB 6 (n = 1320, density =5.2) | |||
| 6 | LOCASALE J.W. SERINE GLYCINE AND ONE-CARBON UNITS: CANCER METABOLISM IN FULL CIRCLE (2013) | 2520 | 2617 |
| 6 | DUCKER G.S. RABINOWITZ J.D. ONE-CARBON METABOLISM IN HEALTH AND DISEASE (2017) | 1726 | 1798 |
| 6 | POSSEMATO R. MARKS K.M. SHAUL Y.D. PACOLD M.E. KIM D. BIRSOY K. SETHUMADHAVAN S. JHA A.K. FUNCTIONAL GENOMICS REVEAL THAT THE SERINE SYNTHESIS PATH… | 1669 | 1715 |
| 6 | LOCASALE J.W. GRASSIAN A.R. MELMAN T. LYSSIOTIS C.A. MATTAINI K.R. BASS A.J. HEFFRON G. SHARFI H. PHOSPHOGLYCERATE DEHYDROGENASE DIVERTS GLYCOLYTIC… | 1664 | 1718 |
| 6 | FAN J. YE J. KAMPHORST J.J. SHLOMI T. THOMPSON C.B. RABINOWITZ J.D. QUANTITATIVE FLUX ANALYSIS REVEALS FOLATE-DEPENDENT NADPH PRODUCTION (2014) | 1521 | 1565 |
| 6 | TIBBETTS A.S. APPLING D.R. COMPARTMENTALIZATION OF MAMMALIAN FOLATE-MEDIATED ONE-CARBON METABOLISM (2010) | 1494 | 1517 |
| 6 | MADDOCKS O.D. BERKERS C.R. MASON S.M. ZHENG L. BLYTH K. GOTTLIEB E. VOUSDEN K.H. SERINE STARVATION INDUCES STRESS AND P53-DEPENDENT METABOLIC REMOD… | 1331 | 1358 |
| 6 | LABUSCHAGNE C.F. VAN DEN BROEK N.J. MACKAY G.M. VOUSDEN K.H. MADDOCKS O.D. SERINE BUT NOT GLYCINE SUPPORTS ONE-CARBON METABOLISM AND PROLIFERATION … | 1239 | 1258 |
| 6 | HANAHAN D. WEINBERG R.A. HALLMARKS OF CANCER: THE NEXT GENERATION (2011) | 1237 | 1559 |
| 6 | YANG M. VOUSDEN K.H. SERINE AND ONE-CARBON METABOLISM IN CANCER (2016) | 1214 | 1279 |
| Knowledge Base 7: KB 7 (n = 1194, density =6.12) | |||
| 7 | GEORGIOU G. IPPOLITO G.C. BEAUSANG J. BUSSE C.E. WARDEMANN H. QUAKE S.R. THE PROMISE AND CHALLENGE OF HIGH-THROUGHPUT SEQUENCING OF THE ANTIBODY RE… | 1645 | 1691 |
| 7 | YE J. MA N. MADDEN T.L. OSTELL J.M. IGBLAST: AN IMMUNOGLOBULIN VARIABLE DOMAIN SEQUENCE ANALYSIS TOOL (2013) | 1170 | 1205 |
| 7 | VOLLMERS C. SIT R.V. WEINSTEIN J.A. DEKKER C.L. QUAKE S.R. GENETIC MEASUREMENT OF MEMORY B-CELL RECALL USING ANTIBODY REPERTOIRE SEQUENCING (2013) | 1101 | 1150 |
| 7 | YAARI G. KLEINSTEIN S.H. PRACTICAL GUIDELINES FOR B-CELL RECEPTOR REPERTOIRE SEQUENCING ANALYSIS (2015) | 1095 | 1132 |
| 7 | TONEGAWA S. SOMATIC GENERATION OF ANTIBODY DIVERSITY (1983) | 966 | 985 |
| 7 | GADALA-MARIA D. YAARI G. UDUMAN M. KLEINSTEIN S.H. AUTOMATED ANALYSIS OF HIGH-THROUGHPUT B-CELL SEQUENCING DATA REVEALS A HIGH FREQUENCY OF NOVEL I… | 735 | 751 |
| 7 | GREIFF V. MIHO E. MENZEL U. REDDY S.T. BIOINFORMATIC AND STATISTICAL ANALYSIS OF ADAPTIVE IMMUNE REPERTOIRES (2015) | 652 | 657 |
| 7 | BOLOTIN D.A. POSLAVSKY S. MITROPHANOV I. SHUGAY M. MAMEDOV I.Z. PUTINTSEVA E.V. MIXCR: SOFTWARE FOR COMPREHENSIVE ADAPTIVE IMMUNITY PROFILING (2015) | 646 | 655 |
| 7 | SHUGAY M. BRITANOVA O.V. MERZLYAK E.M. TURCHANINOVA M.A. MAMEDOV I.Z. TUGANBAEV T.R. TOWARDS ERROR-FREE PROFILING OF IMMUNE REPERTOIRES (2014) | 626 | 644 |
| 7 | FREEMAN J.D. WARREN R.L. WEBB J.R. NELSON B.H. HOLT R.A. PROFILING THE T-CELL RECEPTOR BETA-CHAIN REPERTOIRE BY MASSIVELY PARALLEL SEQUENCING (2009) | 615 | 618 |
| Knowledge Base 8: KB 8 (n = 993, density =4.21) | |||
| 8 | SHARP M.F. LOPATA A.L. FISH ALLERGY: IN REVIEW (2014) | 611 | 699 |
| 8 | VAN DO T. ELSAYED S. FLORVAAG E. HORDVIK I. ENDRESEN C. ALLERGY TO FISH PARVALBUMINS: STUDIES ON THE CROSS-REACTIVITY OF ALLERGENS FROM 9 COMMONLY … | 513 | 536 |
| 8 | RADAUER C. BUBLIN M. WAGNER S. MARI A. BREITENEDER H. ALLERGENS ARE DISTRIBUTED INTO FEW PROTEIN FAMILIES AND POSSESS A RESTRICTED NUMBER OF BIOCHE… | 501 | 580 |
| 8 | KUEHN A. SWOBODA I. ARUMUGAM K. HILGER C. HENTGES F. FISH ALLERGENS AT A GLANCE: VARIABLE ALLERGENICITY OF PARVALBUMINS THE MAJOR FISH ALLERGENS (2… | 423 | 444 |
| 8 | AYUSO R. LEHRER S.B. REESE G. IDENTIFICATION OF CONTINUOUS ALLERGENIC REGIONS OF THE MAJOR SHRIMP ALLERGEN PEN A 1 (TROPOMYOSIN) | 410 | 434 |
| 8 | LIU R. HOLCK A.L. YANG E. LIU C. XUE W. TROPOMYOSIN FROM TILAPIA (OREOCHROMIS MOSSAMBICUS) | 381 | 394 |
| 8 | AYUSO R. REESE G. LEONG-KEE S. PLANTE M. LEHRER S.B. MOLECULAR BASIS OF ARTHROPOD CROSS-REACTIVITY: IGE-BINDING CROSS-REACTIVE EPITOPES OF SHRIMP H… | 365 | 381 |
| 8 | YU C.J. LIN Y.F. CHIANG B.L. CHOW L.P. PROTEOMICS AND IMMUNOLOGICAL ANALYSIS OF A NOVEL SHRIMP ALLERGEN PEN M 2 (2003) | 361 | 370 |
| 8 | KUEHN A. SCHEUERMANN T. HILGER C. HENTGES F. IMPORTANT VARIATIONS IN PARVALBUMIN CONTENT IN COMMON FISH SPECIES: A FACTOR POSSIBLY CONTRIBUTING TO … | 361 | 375 |
| 8 | REESE G. AYUSO R. LEHRER S.B. TROPOMYOSIN: AN INVERTEBRATE PAN-ALLERGEN (1999) | 342 | 385 |
| Knowledge Base 9: KB 9 (n = 792, density =4.04) | |||
| 9 | MATRICARDI P.M. KLEINE-TEBBE J. HOFFMANN H.J. EAACI MOLECULAR ALLERGOLOGY USER’S GUIDE (2016) | 645 | 907 |
| 9 | MATRICARDI P.M. KLEINE-TEBBE J. HOFFMANN H.J. VALENTA R. HILGER C. HOFMAIER S. EAACI MOLECULAR ALLERGOLOGY USER’S GUIDE (2016) | 411 | 630 |
| 9 | ROBERTS G. PFAAR O. AKDIS C.A. EAACI GUIDELINES ON ALLERGEN IMMUNOTHERAPY: ALLERGIC RHINOCONJUNCTIVITIS (2018) | 389 | 389 |
| 9 | VALENTA R. CAMPANA R. FOCKE-TEJKL M. NIEDERBERGER V. VACCINE DEVELOPMENT FOR ALLERGEN-SPECIFIC IMMUNOTHERAPY BASED ON RECOMBINANT ALLERGENS AND SYN… | 345 | 354 |
| 9 | LUPINEK C. WOLLMANN E. BAAR A. BANERJEE S. BREITENEDER H. BROECKER B.M. ADVANCES IN ALLERGEN-MICROARRAY TECHNOLOGY FOR DIAGNOSIS AND MONITORING OF … | 339 | 342 |
| 9 | JUTEL M. JAEGER L. SUCK R. MEYER H. FIEBIG H. CROMWELL O. ALLERGEN-SPECIFIC IMMUNOTHERAPY WITH RECOMBINANT GRASS POLLEN ALLERGENS (2005) | 313 | 313 |
| 9 | SHAMJI M.H. KAPPEN J.H. AKDIS M. BIOMARKERS FOR MONITORING CLINICAL EFFICACY OF ALLERGEN IMMUNOTHERAPY FOR ALLERGIC RHINOCONJUNCTIVITIS AND ALLERGI… | 310 | 310 |
| 9 | NOON L. PROPHYLACTIC INOCULATION AGAINST HAY FEVER (1911) | 299 | 321 |
| 9 | PAJNO G.B. FERNANDEZ-RIVAS M. ARASI S. EAACI GUIDELINES ON ALLERGEN IMMUNOTHERAPY: IGE-MEDIATED FOOD ALLERGY (2018) | 298 | 383 |
| 9 | LUPINEK C. WOLLMANN E. BAAR A. ADVANCES IN ALLERGEN-MICROARRAY TECHNOLOGY FOR DIAGNOSIS AND MONITORING OF ALLERGY: THE MEDALL ALLERGEN-CHIP (2014) | 291 | 316 |
| Knowledge Base 10: KB 10 (n = 791, density =5.36) | |||
| 10 | TAMURA K. STECHER G. PETERSON D. FILIPSKI A. KUMAR S. MEGA6: MOLECULAR EVOLUTIONARY GENETICS ANALYSIS VERSION 6.0 (2013) | 942 | 945 |
| 10 | MURRELL B. WERTHEIM J.O. MOOLA S. WEIGHILL T. SCHEFFLER K. KOSAKOVSKY POND S.L. DETECTING INDIVIDUAL SITES SUBJECT TO EPISODIC DIVERSIFYING SELECTI… | 905 | 909 |
| 10 | YANG Z. PAML 4: PHYLOGENETIC ANALYSIS BY MAXIMUM LIKELIHOOD (2007) | 644 | 651 |
| 10 | POND S.L.K. FROST S.D.W. MUSE S.V. HYPHY: HYPOTHESIS TESTING USING PHYLOGENIES (2005) | 533 | 533 |
| 10 | EDGAR R.C. MUSCLE: MULTIPLE SEQUENCE ALIGNMENT WITH HIGH ACCURACY AND HIGH THROUGHPUT (2004) | 457 | 519 |
| 10 | POND S.L. FROST S.D. MUSE S.V. HYPHY: HYPOTHESIS TESTING USING PHYLOGENIES (2005) | 453 | 453 |
| 10 | KINDE I. WU J. PAPADOPOULOS N. KINZLER K.W. VOGELSTEIN B. DETECTION AND QUANTIFICATION OF RARE MUTATIONS WITH MASSIVELY PARALLEL SEQUENCING (2011) | 427 | 549 |
| 10 | MARTIN D.P. MURRELL B. GOLDEN M. KHOOSAL A. MUHIRE B. RDP4: DETECTION AND ANALYSIS OF RECOMBINATION PATTERNS IN VIRUS GENOMES (2015) | 356 | 356 |
| 10 | DRUMMOND A.J. SUCHARD M.A. XIE D. RAMBAUT A. BAYESIAN PHYLOGENETICS WITH BEAUTI AND THE BEAST 1.7 (2012) | 346 | 346 |
| 10 | MURRELL B. MOOLA S. MABONA A. WEIGHILL T. SHEWARD D. KOSAKOVSKY POND S.L. SCHEFFLER K. FUBAR: A FAST UNCONSTRAINED BAYESIAN APPROXIMATION FOR INFER… | 342 | 342 |
In a co-cittion network, the strength of the relationship between a reference pair \(m\) and \(n\) (\(s_{m,n}^{coc}\)) is expressed by the number of publications \(C\) which are jointly citing reference \(m\) and \(n\).
\[s_{m,n}^{coc} = \sum_i c_{i,m} c_{i,n}\]
The intuition here is that references which are frequently cited together are likely to share commonalities in theory, topic, methodology, or context. It can be interpreted as a measure of similarity as evaluated by other researchers that decide to jointly cite both references. Because the publication process is time-consuming, co-citation is a backward-looking measure, which is appropriate to map the relationship between core literature of a field.
This is arguably the more interesting part. Here, we identify the
literature’s current knowledge frontier by carrying out a bibliographic
coupling analysis of the publications in our corpus. This measure uses
bibliographical information of publications to establish a similarity
relationship between them. Again, method details to be found in the tab
Technical description. As you will see, we identify the
main research area, but also a set of adjacent research areas with some
theoretical/methodological/application overlap.
To identify communities in the field’s knowledge frontier (labeled research areas) we again use the Lovain Algorithm (Blondel et al., 2008). We identify the following communities = research areas.
| com_name | AU | PY | TI | dgr_int | TC | TC_year |
|---|---|---|---|---|---|---|
| Research Area 1: RA 1 (n = 1157, density =0.1) | ||||||
| RA 1 | SICHERER SH;SAMPSON HA | 2018 | FOOD ALLERGY: A REVIEW AND UPDATE ON EPIDEMIOLOGY, PATHOGENESIS, DIAGNOSIS, PREVENTION, AND MANAGEMENT | 5.2564681 | 659 | 164.750000 |
| RA 1 | VICKERY BP;VEREDA A;CA… | 2018 | AR101 ORAL IMMUNOTHERAPY FOR PEANUT ALLERGY | 4.4567773 | 291 | 72.750000 |
| RA 1 | TOGIAS A;COOPER SF;ACE… | 2017 | ADDENDUM GUIDELINES FOR THE PREVENTION OF PEANUT ALLERGY IN THE UNITED STATES: REPORT OF THE NATIONAL INSTITUTE OF ALLERGY… | 4.8728565 | 246 | 49.200000 |
| RA 1 | PAJNO GB;FERNANDEZ-RIV… | 2018 | EAACI GUIDELINES ON ALLERGEN IMMUNOTHERAPY: IGE-MEDIATED FOOD ALLERGY | 2.9451825 | 249 | 62.250000 |
| RA 1 | MATRICARDI PM;KLEINE-T… | 2016 | EAACI MOLECULAR ALLERGOLOGY USER’S GUIDE | 1.3783614 | 507 | 84.500000 |
| RA 1 | BIRD JA;SPERGEL JM;JON… | 2018 | EFFICACY AND SAFETY OF AR101 IN ORAL IMMUNOTHERAPY FOR PEANUT ALLERGY: RESULTS OF ARC001, A RANDOMIZED, DOUBLE-BLIND, PLAC… | 5.9259842 | 105 | 26.250000 |
| RA 1 | GUPTA RS;WARREN CM;SMI… | 2018 | THE PUBLIC HEALTH IMPACT OF PARENT-REPORTED CHILDHOOD FOOD ALLERGIES IN THE UNITED STATES | 2.4976192 | 249 | 62.250000 |
| RA 1 | WOOD RA | 2016 | FOOD ALLERGEN IMMUNOTHERAPY: CURRENT STATUS AND PROSPECTS FOR THE FUTURE | 4.3063042 | 139 | 23.166667 |
| RA 1 | EBISAWA M;ITO K;FUJISA… | 2017 | JAPANESE GUIDELINES FOR FOOD ALLERGY 2017 | 3.6866366 | 162 | 32.400000 |
| RA 1 | NURMATOV U;DHAMI S;ARA… | 2017 | ALLERGEN IMMUNOTHERAPY FOR IGE-MEDIATED FOOD ALLERGY: A SYSTEMATIC REVIEW AND META-ANALYSIS | 1.9861608 | 241 | 48.200000 |
| Research Area 2: RA 2 (n = 755, density =0.12) | ||||||
| RA 2 | TURECKI G;MEANEY MJ | 2016 | EFFECTS OF THE SOCIAL ENVIRONMENT AND STRESS ON GLUCOCORTICOID RECEPTOR GENE METHYLATION: A SYSTEMATIC REVIEW | 3.9525104 | 373 | 62.166667 |
| RA 2 | YEHUDA R;DASKALAKIS NP… | 2016 | HOLOCAUST EXPOSURE INDUCED INTERGENERATIONAL EFFECTS ON FKBP5 METHYLATION | 2.5677228 | 339 | 56.500000 |
| RA 2 | BAUMEISTER D;AKHTAR R;… | 2016 | CHILDHOOD TRAUMA AND ADULTHOOD INFLAMMATION: A META-ANALYSIS OF PERIPHERAL C-REACTIVE PROTEIN, INTERLEUKIN-6 AND TUMOUR NE… | 1.6203639 | 489 | 81.500000 |
| RA 2 | NEMEROFF CB | 2016 | PARADISE LOST: THE NEUROBIOLOGICAL AND CLINICAL CONSEQUENCES OF CHILD ABUSE AND NEGLECT | 1.9168008 | 341 | 56.833333 |
| RA 2 | NESTLER EJ;PEÑA CJ;KUN… | 2016 | EPIGENETIC BASIS OF MENTAL ILLNESS | 2.3670240 | 180 | 30.000000 |
| RA 2 | BERENS AE;JENSEN SKG;N… | 2017 | BIOLOGICAL EMBEDDING OF CHILDHOOD ADVERSITY: FROM PHYSIOLOGICAL MECHANISMS TO CLINICAL IMPLICATIONS | 1.7006921 | 207 | 41.400000 |
| RA 2 | TYRKA AR;PARADE SH;WEL… | 2016 | METHYLATION OF THE LEUKOCYTE GLUCOCORTICOID RECEPTOR GENE PROMOTER IN ADULTS: ASSOCIATIONS WITH EARLY ADVERSITY AND DEPRES… | 4.0166999 | 79 | 13.166667 |
| RA 2 | BOWERS ME;YEHUDA R | 2016 | INTERGENERATIONAL TRANSMISSION OF STRESS IN HUMANS | 1.2525343 | 220 | 36.666667 |
| RA 2 | HOUTEPEN LC;VINKERS CH… | 2016 | GENOME-WIDE DNA METHYLATION LEVELS AND ALTERED CORTISOL STRESS REACTIVITY FOLLOWING CHILDHOOD TRAUMA IN HUMANS | 1.8978821 | 130 | 21.666667 |
| RA 2 | BUSTAMANTE AC;AIELLO A… | 2016 | GLUCOCORTICOID RECEPTOR DNA METHYLATION, CHILDHOOD MALTREATMENT AND MAJOR DEPRESSION | 3.9248830 | 61 | 10.166667 |
| Research Area 3: RA 3 (n = 733, density =0.12) | ||||||
| RA 3 | ZHENG Y;QIN L;ZACARÍAS… | 2016 | STRUCTURE OF CC CHEMOKINE RECEPTOR 2 WITH ORTHOSTERIC AND ALLOSTERIC ANTAGONISTS | 2.4616090 | 165 | 27.500000 |
| RA 3 | OSWALD C;RAPPAS M;KEAN… | 2016 | INTRACELLULAR ALLOSTERIC ANTAGONISM OF THE CCR9 RECEPTOR | 2.1300938 | 142 | 23.666667 |
| RA 3 | THAL DM;GLUKHOVA A;SEX… | 2018 | STRUCTURAL INSIGHTS INTO G-PROTEIN-COUPLED RECEPTOR ALLOSTERY | 1.8167272 | 149 | 37.250000 |
| RA 3 | SMITH JS;LEFKOWITZ RJ;… | 2018 | BIASED SIGNALLING: FROM SIMPLE SWITCHES TO ALLOSTERIC MICROPROCESSORS | 0.7777958 | 316 | 79.000000 |
| RA 3 | SCHNEIDMAN-DUHOVNY D;H… | 2016 | FOXS, FOXSDOCK AND MULTIFOXS: SINGLE-STATE AND MULTI-STATE STRUCTURAL MODELING OF PROTEINS AND THEIR COMPLEXES BASED ON SA… | 0.8905795 | 236 | 39.333333 |
| RA 3 | JANSON G;ZHANG C;PRADO… | 2017 | PYMOD 2.0: IMPROVEMENTS IN PROTEIN SEQUENCE-STRUCTURE ANALYSIS AND HOMOLOGY MODELING WITHIN PYMOL | 1.8791769 | 110 | 22.000000 |
| RA 3 | ZHOU Q;YANG D;WU M;GUO… | 2019 | COMMON ACTIVATION MECHANISM OF CLASS A GPCRS | 1.6195700 | 112 | 37.333333 |
| RA 3 | LIU X;AHN S;KAHSAI AW;… | 2017 | MECHANISM OF INTRACELLULAR ALLOSTERIC Β 2 AR ANTAGONIST REVEALED BY X-RAY CRYSTAL STRUCTURE | 1.8052338 | 94 | 18.800000 |
| RA 3 | YEN H-Y;HOI KK;LIKO I;… | 2018 | PTDINS(4,5)P2 STABILIZES ACTIVE STATES OF GPCRS AND ENHANCES SELECTIVITY OF G-PROTEIN COUPLING | 1.3120302 | 129 | 32.250000 |
| RA 3 | ROBERTSON N;RAPPAS M;D… | 2018 | STRUCTURE OF THE COMPLEMENT C5A RECEPTOR BOUND TO THE EXTRA-HELICAL ANTAGONIST NDT9513727 | 2.3574027 | 64 | 16.000000 |
| Research Area 4: RA 4 (n = 679, density =0.15) | ||||||
| RA 4 | HUGHES CE;NIBBS RJB | 2018 | A GUIDE TO CHEMOKINES AND THEIR RECEPTORS | 2.0337545 | 313 | 78.250000 |
| RA 4 | POZZOBON T;GOLDONI G;V… | 2016 | CXCR4 SIGNALING IN HEALTH AND DISEASE | 4.8377285 | 122 | 20.333333 |
| RA 4 | JANSSENS R;STRUYF S;PR… | 2018 | THE UNIQUE STRUCTURAL AND FUNCTIONAL FEATURES OF CXCL12 | 3.8332507 | 120 | 30.000000 |
| RA 4 | GUO F;WANG Y;LIU J;MOK… | 2016 | CXCL12/CXCR4: A SYMBIOTIC BRIDGE LINKING CANCER CELLS AND THEIR STROMAL NEIGHBORS IN ONCOGENIC COMMUNICATION NETWORKS | 1.3542341 | 232 | 38.666667 |
| RA 4 | POETA VM;MASSARA M;CAP… | 2019 | CHEMOKINES AND CHEMOKINE RECEPTORS: NEW TARGETS FOR CANCER IMMUNOTHERAPY | 1.5386586 | 204 | 68.000000 |
| RA 4 | STONE MJ;HAYWARD JA;HU… | 2017 | MECHANISMS OF REGULATION OF THE CHEMOKINE-RECEPTOR NETWORK | 2.1918255 | 134 | 26.800000 |
| RA 4 | LIM SY;YUZHALIN AE;GOR… | 2016 | TARGETING THE CCL2-CCR2 SIGNALING AXIS IN CANCER METASTASIS | 0.8981507 | 260 | 43.333333 |
| RA 4 | TOKUNAGA R;ZHANG W;NAS… | 2018 | CXCL9, CXCL10, CXCL11/CXCR3 AXIS FOR IMMUNE ACTIVATION – A TARGET FOR NOVEL CANCER THERAPY | 0.5002974 | 420 | 105.000000 |
| RA 4 | BONECCHI R;GRAHAM GJ | 2016 | ATYPICAL CHEMOKINE RECEPTORS AND THEIR ROLES IN THE RESOLUTION OF THE INFLAMMATORY RESPONSE | 2.4249263 | 86 | 14.333333 |
| RA 4 | HAUSER MA;LEGLER DF | 2016 | COMMON AND BIASED SIGNALING PATHWAYS OF THE CHEMOKINE RECEPTOR CCR7 ELICITED BY ITS LIGANDS CCL19 AND CCL21 IN LEUKOCYTES | 2.0279591 | 102 | 17.000000 |
| Research Area 5: RA 5 (n = 675, density =0.13) | ||||||
| RA 5 | YU G;SMITH DK;ZHU H;GU… | 2017 | GGTREE: AN R PACKAGE FOR VISUALIZATION AND ANNOTATION OF PHYLOGENETIC TREES WITH THEIR COVARIATES AND OTHER ASSOCIATED DATA | 1.1730432 | 1324 | 264.800000 |
| RA 5 | GOODWIN S;MCPHERSON JD… | 2016 | COMING OF AGE: TEN YEARS OF NEXT-GENERATION SEQUENCING TECHNOLOGIES | 0.4475554 | 1917 | 319.500000 |
| RA 5 | JENNINGS LJ;ARCILA ME;… | 2017 | GUIDELINES FOR VALIDATION OF NEXT-GENERATION SEQUENCING–BASED ONCOLOGY PANELS: A JOINT CONSENSUS RECOMMENDATION OF THE ASS… | 1.0234586 | 319 | 63.800000 |
| RA 5 | HEATHER JM;CHAIN B | 2016 | THE SEQUENCE OF SEQUENCERS: THE HISTORY OF SEQUENCING DNA | 0.6409195 | 483 | 80.500000 |
| RA 5 | BENVENUTO D;GIOVANETTI… | 2020 | THE 2019-NEW CORONAVIRUS EPIDEMIC: EVIDENCE FOR VIRUS EVOLUTION | 0.8027736 | 370 | 185.000000 |
| RA 5 | SALK JJ;SCHMITT MW;LOE… | 2018 | ENHANCING THE ACCURACY OF NEXT-GENERATION SEQUENCING FOR DETECTING RARE AND SUBCLONAL MUTATIONS | 1.2741082 | 219 | 54.750000 |
| RA 5 | FRANZO G;CORTEY M;SEGA… | 2016 | PHYLODYNAMIC ANALYSIS OF PORCINE CIRCOVIRUS TYPE 2 REVEALS GLOBAL WAVES OF EMERGING GENOTYPES AND THE CIRCULATION OF RECOM… | 2.2827339 | 100 | 16.666667 |
| RA 5 | GAO F;CHEN C;ARAB DA;D… | 2019 | EASYCODEML: A VISUAL TOOL FOR ANALYSIS OF SELECTION USING CODEML | 1.8229607 | 123 | 41.000000 |
| RA 5 | WEAVER S;SHANK SD;SPIE… | 2018 | DATAMONKEY 2.0: A MODERN WEB APPLICATION FOR CHARACTERIZING SELECTIVE AND OTHER EVOLUTIONARY PROCESSES | 0.7792677 | 285 | 71.250000 |
| RA 5 | WANG L-G;LAM TT-Y;XU S… | 2020 | TREEIO: AN R PACKAGE FOR PHYLOGENETIC TREE INPUT AND OUTPUT WITH RICHLY ANNOTATED AND ASSOCIATED DATA | 1.7989751 | 96 | 48.000000 |
| Research Area 6: RA 6 (n = 563, density =0.32) | ||||||
| RA 6 | O’NEILL LAJ;KISHTON RJ… | 2016 | A GUIDE TO IMMUNOMETABOLISM FOR IMMUNOLOGISTS | 2.3685576 | 1210 | 201.666667 |
| RA 6 | BUCK MD;SOWELL RT;KAEC… | 2017 | METABOLIC INSTRUCTION OF IMMUNITY | 3.5362007 | 535 | 107.000000 |
| RA 6 | SUKUMAR M;LIU J;MEHTA … | 2016 | MITOCHONDRIAL MEMBRANE POTENTIAL IDENTIFIES CELLS WITH ENHANCED STEMNESS FOR CELLULAR THERAPY | 6.4997434 | 196 | 32.666667 |
| RA 6 | KISHTON RJ;SUKUMAR M;R… | 2017 | METABOLIC REGULATION OF T CELL LONGEVITY AND FUNCTION IN TUMOR IMMUNOTHERAPY | 5.1567787 | 187 | 37.400000 |
| RA 6 | JOHNSON MO;WOLF MM;MAD… | 2018 | DISTINCT REGULATION OF TH17 AND TH1 CELL DIFFERENTIATION BY GLUTAMINASE-DEPENDENT METABOLISM | 3.8386329 | 231 | 57.750000 |
| RA 6 | LOFTUS RM;FINLAY DK | 2016 | IMMUNOMETABOLISM: CELLULAR METABOLISM TURNS IMMUNE REGULATOR | 3.1754132 | 229 | 38.166667 |
| RA 6 | ALMEIDA L;LOCHNER M;BE… | 2016 | METABOLIC PATHWAYS IN T CELL ACTIVATION AND LINEAGE DIFFERENTIATION | 2.9477605 | 211 | 35.166667 |
| RA 6 | MENK AV;SCHARPING NE;M… | 2018 | EARLY TCR SIGNALING INDUCES RAPID AEROBIC GLYCOLYSIS ENABLING DISTINCT ACUTE T CELL EFFECTOR FUNCTIONS | 3.4489636 | 174 | 43.500000 |
| RA 6 | NEWTON R;PRIYADHARSHIN… | 2016 | IMMUNOMETABOLISM OF REGULATORY T CELLS | 3.1279523 | 190 | 31.666667 |
| RA 6 | BANTUG GR;GALLUZZI L;K… | 2018 | THE SPECTRUM OF T CELL METABOLISM IN HEALTH AND DISEASE | 2.9702342 | 200 | 50.000000 |
| Research Area 7: RA 7 (n = 490, density =0.26) | ||||||
| RA 7 | SMITH T;HEGER A;SUDBERY I | 2017 | UMI-TOOLS: MODELING SEQUENCING ERRORS IN UNIQUE MOLECULAR IDENTIFIERS TO IMPROVE QUANTIFICATION ACCURACY | 0.7626330 | 459 | 91.800000 |
| RA 7 | TURCHANINOVA MA;DAVYDO… | 2016 | HIGH-QUALITY FULL-LENGTH IMMUNOGLOBULIN PROFILING WITH UNIQUE MOLECULAR BARCODING | 3.2818235 | 100 | 16.666667 |
| RA 7 | BREDEN F;LUNING PRAK E… | 2017 | REPRODUCIBILITY AND REUSE OF ADAPTIVE IMMUNE RECEPTOR REPERTOIRE DATA | 5.8138256 | 54 | 10.800000 |
| RA 7 | MIHO E;YERMANOS A;WEBE… | 2018 | COMPUTATIONAL STRATEGIES FOR DISSECTING THE HIGH-DIMENSIONAL COMPLEXITY OF ADAPTIVE IMMUNE REPERTOIRES | 3.8524717 | 81 | 20.250000 |
| RA 7 | ROSATI E;DOWDS CM;LIAS… | 2017 | OVERVIEW OF METHODOLOGIES FOR T-CELL RECEPTOR REPERTOIRE ANALYSIS | 2.5769911 | 119 | 23.800000 |
| RA 7 | RALPH DK;MATSEN FA;IV | 2016 | CONSISTENCY OF VDJ REARRANGEMENT AND SUBSTITUTION PARAMETERS ENABLES ACCURATE B CELL RECEPTOR SEQUENCE ANNOTATION | 4.0583461 | 66 | 11.000000 |
| RA 7 | GREIFF V;MENZEL U;MIHO… | 2017 | SYSTEMS ANALYSIS REVEALS HIGH GENETIC AND ANTIGEN-DRIVEN PREDETERMINATION OF ANTIBODY REPERTOIRES THROUGHOUT B CELL DEVELO… | 3.8171377 | 69 | 13.800000 |
| RA 7 | GREIFF V;WEBER CR;PALM… | 2017 | LEARNING THE HIGH-DIMENSIONAL IMMUNOGENOMIC FEATURES THAT PREDICT PUBLIC AND PRIVATE ANTIBODY REPERTOIRES | 4.4692843 | 55 | 11.000000 |
| RA 7 | DEWITT WS;LINDAU P;SNY… | 2016 | A PUBLIC DATABASE OF MEMORY AND NAIVE B-CELL RECEPTOR SEQUENCES | 3.5220475 | 68 | 11.333333 |
| RA 7 | LIU X;WU J | 2018 | HISTORY, APPLICATIONS, AND CHALLENGES OF IMMUNE REPERTOIRE RESEARCH | 6.1170415 | 36 | 9.000000 |
| Research Area 8: RA 8 (n = 481, density =0.42) | ||||||
| RA 8 | PAVLOVA NN;THOMPSON CB | 2016 | THE EMERGING HALLMARKS OF CANCER METABOLISM | 3.1665951 | 2449 | 408.166667 |
| RA 8 | DE BERARDINIS RJ;CHAND… | 2016 | FUNDAMENTALS OF CANCER METABOLISM | 3.2146586 | 1236 | 206.000000 |
| RA 8 | DUCKER GS;RABINOWITZ JD | 2017 | ONE-CARBON METABOLISM IN HEALTH AND DISEASE | 5.5511568 | 697 | 139.400000 |
| RA 8 | VANDER HEIDEN MG;DEBER… | 2017 | UNDERSTANDING THE INTERSECTIONS BETWEEN METABOLISM AND CANCER BIOLOGY | 3.8057305 | 936 | 187.200000 |
| RA 8 | YANG M;VOUSDEN KH | 2016 | SERINE AND ONE-CARBON METABOLISM IN CANCER | 4.5655041 | 417 | 69.500000 |
| RA 8 | NEWMAN AC;MADDOCKS ODK | 2017 | ONE-CARBON METABOLISM IN CANCER | 9.1913342 | 181 | 36.200000 |
| RA 8 | LUENGO A;GUI DY;VANDER… | 2017 | TARGETING METABOLISM FOR CANCER THERAPY | 3.9511348 | 383 | 76.600000 |
| RA 8 | MATTAINI KR;SULLIVAN M… | 2016 | THE IMPORTANCE OF SERINE METABOLISM IN CANCER | 7.4224477 | 184 | 30.666667 |
| RA 8 | MA EH;BANTUG G;GRISS T… | 2017 | SERINE IS AN ESSENTIAL METABOLITE FOR EFFECTOR T CELL EXPANSION | 4.4158321 | 256 | 51.200000 |
| RA 8 | GAO X;LEE K;REID MA;SA… | 2018 | SERINE AVAILABILITY INFLUENCES MITOCHONDRIAL DYNAMICS AND FUNCTION THROUGH LIPID METABOLISM | 10.3750504 | 96 | 24.000000 |
| Research Area 9: RA 9 (n = 463, density =0.78) | ||||||
| RA 9 | CHINEN T;KANNAN AK;LEV… | 2016 | AN ESSENTIAL ROLE FOR THE IL-2 RECEPTOR IN T REG CELL FUNCTION | 7.0353349 | 376 | 62.666667 |
| RA 9 | KAMADA T;TOGASHI Y;TAY… | 2019 | PD-1+ REGULATORY T CELLS AMPLIFIED BY PD-1 BLOCKADE PROMOTE HYPERPROGRESSION OF CANCER | 6.3011637 | 345 | 115.000000 |
| RA 9 | TOGASHI Y;SHITARA K;NI… | 2019 | REGULATORY T CELLS IN CANCER IMMUNOSUPPRESSION — IMPLICATIONS FOR ANTICANCER THERAPY | 4.7348282 | 417 | 139.000000 |
| RA 9 | DOMINGUEZ-VILLAR M;HAF… | 2018 | REGULATORY T CELLS IN AUTOIMMUNE DISEASE | 7.2541274 | 271 | 67.750000 |
| RA 9 | MAJ T;WANG W;CRESPO J;… | 2017 | OXIDATIVE STRESS CONTROLS REGULATORY T CELL APOPTOSIS AND SUPPRESSOR ACTIVITY AND PD-L1-BLOCKADE RESISTANCE IN TUMOR | 5.1432664 | 332 | 66.400000 |
| RA 9 | LI MO;RUDENSKY AY | 2016 | T CELL RECEPTOR SIGNALLING IN THE CONTROL OF REGULATORY T CELL DIFFERENTIATION AND FUNCTION | 6.2282848 | 262 | 43.666667 |
| RA 9 | WING JB;TANAKA A;SAKAG… | 2019 | HUMAN FOXP3 + REGULATORY T CELL HETEROGENEITY AND FUNCTION IN AUTOIMMUNITY AND CANCER | 6.4747179 | 233 | 77.666667 |
| RA 9 | PLITAS G;RUDENSKY AY | 2016 | REGULATORY T CELLS: DIFFERENTIATION AND FUNCTION | 10.8431323 | 139 | 23.166667 |
| RA 9 | TAKEUCHI Y;NISHIKAWA H | 2016 | ROLES OF REGULATORY T CELLS IN CANCER IMMUNITY | 5.1251531 | 277 | 46.166667 |
| RA 9 | KITAGAWA Y;OHKURA N;KI… | 2017 | GUIDANCE OF REGULATORY T CELL DEVELOPMENT BY SATB1-DEPENDENT SUPER-ENHANCER ESTABLISHMENT | 7.0904157 | 178 | 35.600000 |
| Research Area 10: RA 10 (n = NA, density =NA) | ||||||
| NA | STURM GJ;VARGA E-M;ROB… | 2018 | EAACI GUIDELINES ON ALLERGEN IMMUNOTHERAPY: HYMENOPTERA VENOM ALLERGY | 2.1449361 | 218 | 54.500000 |
| NA | HILGER C;FISCHER J;SWI… | 2016 | TWO GALACTOSE-Α-1,3-GALACTOSE CARRYING PEPTIDASES FROM PORK KIDNEY MEDIATE ANAPHYLACTOGENIC RESPONSES IN DELAYED MEAT ALLERGY | 3.5106829 | 46 | 7.666667 |
| NA | BLACH S;ZEUZEM S;MANNS… | 2017 | GLOBAL PREVALENCE AND GENOTYPE DISTRIBUTION OF HEPATITIS C VIRUS INFECTION IN 2015: A MODELLING STUDY | 0.1176471 | 1270 | 254.000000 |
| NA | HILGER C;FISCHER J;WÖL… | 2019 | ROLE AND MECHANISM OF GALACTOSE-ALPHA-1,3-GALACTOSE IN THE ELICITATION OF DELAYED ANAPHYLACTIC REACTIONS TO RED MEAT | 2.4633197 | 44 | 14.666667 |
| NA | FISCHER J;EBERLEIN B;H… | 2017 | ALPHA-GAL IS A POSSIBLE TARGET OF IGE-MEDIATED REACTIVITY TO ANTIVENOM | 2.3320773 | 40 | 8.000000 |
| NA | MEHLICH J;FISCHER J;HI… | 2019 | THE BASOPHIL ACTIVATION TEST DIFFERENTIATES BETWEEN PATIENTS WITH ALPHA-GAL SYNDROME AND ASYMPTOMATIC ALPHA-GAL SENSITIZATION | 2.1643884 | 43 | 14.333333 |
| NA | BLANK S;BILÒ MB;OLLERT M | 2018 | COMPONENT-RESOLVED DIAGNOSTICS TO DIRECT IN VENOM IMMUNOTHERAPY: IMPORTANT STEPS TOWARDS PRECISION MEDICINE | 2.4198772 | 34 | 8.500000 |
| NA | MICHEL J;BROCKOW K;DAR… | 2016 | ADDED SENSITIVITY OF COMPONENT-RESOLVED DIAGNOSIS IN HYMENOPTERA VENOM-ALLERGIC PATIENTS WITH ELEVATED SERUM TRYPTASE AND/… | 2.0041596 | 38 | 6.333333 |
| NA | SCHIENER M;EBERLEIN B;… | 2017 | APPLICATION OF RECOMBINANT ANTIGEN 5 ALLERGENS FROM SEVEN ALLERGY-RELEVANT HYMENOPTERA SPECIES IN DIAGNOSTICS | 1.8604018 | 35 | 7.000000 |
| NA | FRICK M;FISCHER J;HELB… | 2016 | PREDOMINANT API M 10 SENSITIZATION AS RISK FACTOR FOR TREATMENT FAILURE IN HONEY BEE VENOM IMMUNOTHERAPY | 0.9059141 | 69 | 11.500000 |
In a bibliographic coupling network, the coupling-strength between publications is determined by the number of commonly cited references they share, assuming a common pool of references to indicate similarity in context, methods, or theory. Formally, the strength of the relationship between a publication pair \(i\) and \(j\) (\(s_{i,j}^{bib}\)) is expressed by the number of commonly cited references.
\[s_{i,j}^{bib} = \sum_m c_{i,m} c_{j,m}\]
Since our corpus contains publications which differ strongly in terms of the number of cited references, we normalize the coupling strength by the Jaccard similarity coefficient. Here, we weight the intercept of two publications’ bibliography (shared refeences) by their union (number of all references cited by either \(i\) or \(j\)). It is bounded between zero and one, where one indicates the two publications to have an identical bibliography, and zero that they do not share any cited reference. Thereby, we prevent publications from having high coupling strength due to a large bibliography (e.g., literature surveys).
\[S_{i,j}^{jac-bib} =\frac{C(i \cap j)}{C(i \cup j)} = \frac{s_{i,j}^{bib}}{c_i + c_j - s_{i,j}^{bib}}\]
More recent articles have a higher pool of possible references to co-cite to, hence they are more likely to be coupled. Consequently, bibliographic coupling represents a forward looking measure, and the method of choice to identify the current knowledge frontier at the point of analysis.
All results are preliminary so far…